How to Use the Cedar AI MCP in Claude

Q: How do I connect the Cedar AI MCP Server to Claude Desktop?

Open your claudedesktopconfig.json file. Add the Vinkius endpoint URL under the mcpServers section. Restart the app, and you will see the hammer icon appear in your chat input.

Manage your rail yard logistics and train schedules straight from Claude Desktop.

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Connect Cedar AI MCP to Claude Desktop

Create your Vinkius account to connect Cedar AI to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cedar AI with Claude Desktop

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Perplexity

Track railcars directly in Claude Desktop

Your AI client grabs live railcar data through the `list_inventory` tool the second you ask. Yardmasters need immediate visibility into what sits on their tracks. You just type a question about a specific car, and Claude pulls the exact location and current load status using `get_railcar_details`. Waybills dictate where everything goes. Using `get_waybill_details`, Claude reads the exact routing instructions and commodity information for any shipment. You skip hunting through a separate TMS portal just to find out why a car is delayed.

Log arrivals and departures via MCP Server

Trains move fast, and your records need to keep up. When a manifest train pulls into the yard, tell Claude to run the `arrive_train` tool. It logs the exact time and consist details into your ERP instantly. The same applies when power leaves the yard. The `depart_train` operation updates your system the second a crew ties down or departs. You just type a quick message, and the MCP Server handles the database update behind the scenes.

Execute yard operations

Switch crews rely on accurate work orders to build outgoing trains. Claude uses `get_work_order_details` to pull the specific switching instructions for the day. If a car gets bad-ordered, you fix the record immediately with `update_railcar_status`. You also need to record physical movements. Tools like `pickup_cars` and `setout_cars` let you document exactly which railcars were grabbed or left at an industry track. Then, `update_work_order` marks the task complete without you touching another interface.

Setup guide

Set up Cedar AI MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Cedar AI MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Cedar AI MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under cedar-ai-mcp.

json

{
  "mcpServers": {
    "cedar-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cedar AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cedar AI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cedar AI MCP in Claude Desktop

Open your claude_desktop_config.json file. Add the Vinkius endpoint URL under the mcpServers section. Restart the app, and you will see the hammer icon appear in your chat input.

Yes. You can tell Claude that a car needs cleaning or repairs. It triggers the update_railcar_status tool to change the condition in your live database.

You have full access to your yard inventory. Ask Claude to run list_waybills or list_inventory to see every railcar currently sitting on your tracks.

No. If you use claude.ai in the browser, just paste your MCP Server URL into the Custom Connectors settings. The integration works without touching your local filesystem.

Vinkius runs your connection inside an ephemeral V8 Isolate sandbox. Your waybill records and train schedules pass through a zero-trust environment that shuts down entirely after the query finishes.

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